What do you do when you see a particular Spark job is running when you arrive at the office? What are the series of steps you use to analyze and debug the issue?

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Accepted Answer

To analyze a running Spark job, check logs, resource usage, and job stages to identify performance issues or errors.

Check Spark UI: Access the Spark Web UI to monitor job stages, task execution times, and resource utilization metrics.
Review Logs: Examine the executor and driver logs for error messages or warnings that could indicate issues with the job.
Analyze Resource Usage: Look at CPU and memory usage to determine if the job is resource-intensive or if there are bottlenecks.
Check Data Skew: Investigate if data skew is causing some tasks to take significantly longer than others, leading to delays.
Optimize Configurations: Review Spark configurations (e.g., executor memory, number of partitions) to see if adjustments can improve performance.

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What do you do when you see a particular Spark job is running when you arrive at the office? What are the series of steps you use to analyze and debug the issue?

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